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chore: update case studies (datahub-project#11520)
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hsheth2 authored Oct 3, 2024
1 parent 44645b9 commit fa67e3a
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Showing 4 changed files with 12 additions and 14 deletions.
4 changes: 1 addition & 3 deletions docs-website/adoptionStoriesIndexes.json
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Expand Up @@ -14,8 +14,6 @@
{
"name": "Visa",
"slug": "visa",
"imageUrl": "/img/logos/companies/visa.png",
"imageSize": "large",
"link": "https://blog.datahubproject.io/how-visa-uses-datahub-to-scale-data-governance-cace052d61c5",
"linkType": "blog",
"tagline": "How Visa uses DataHub to scale data governance",
Expand Down Expand Up @@ -374,4 +372,4 @@
"category": "And More"
}
]
}
}
20 changes: 10 additions & 10 deletions docs-website/src/pages/_components/CaseStudy/caseStudyContent.js
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Expand Up @@ -9,16 +9,16 @@ const caseStudyData = [
image: "https://datahubproject.io/img/logos/companies/netflix.png",
link: "https://datahubproject.io/adoption-stories/#netflix",
},
{
title: "Scaling Data Governance",
description:
"How VISA Uses DataHub to Scale Data Governance.",
tag: "Finance",
backgroundImage:
"https://miro.medium.com/v2/resize:fit:2000/format:webp/1*[email protected]",
image: "https://datahubproject.io/img/logos/companies/visa.png",
link: "https://datahubproject.io/adoption-stories/#visa",
},
// {
// title: "Scaling Data Governance",
// description:
// "How VISA Uses DataHub to Scale Data Governance.",
// tag: "Finance",
// backgroundImage:
// "https://miro.medium.com/v2/resize:fit:2000/format:webp/1*[email protected]",
// image: "https://datahubproject.io/img/logos/companies/visa.png",
// link: "https://datahubproject.io/adoption-stories/#visa",
// },
{
title: "Ensuring Data Reliability",
description:
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2 changes: 1 addition & 1 deletion docs-website/src/pages/index.js
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Expand Up @@ -21,7 +21,7 @@ import CloseButton from "@ant-design/icons/CloseCircleFilled";

const companyIndexes = require("../../adoptionStoriesIndexes.json");
const companies = companyIndexes.companies;
const keyCompanySlugs = ["netflix", "visa", "pinterest", "airtel", "optum"];
const keyCompanySlugs = ["netflix", "pinterest", "airtel", "notion", "optum"];
const keyCompanies = keyCompanySlugs
.map((slug) => companies.find((co) => co.slug === slug))
.filter((isDefined) => isDefined);
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